Chang Hwanseok, Kwon Sungjoo, Bae Gwangmin, Jeon Seokwoo
Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea.
Nanophotonics. 2024 Feb 15;13(7):971-982. doi: 10.1515/nanoph-2024-0001. eCollection 2024 Mar.
Recent advances in nanotechnology have led to the emergence of metamaterials with unprecedented properties through precisely controlled topologies. To explore metamaterials with nanoscale topologies, interest in three-dimensional nanofabrication methods has grown and led to rapid production of target nanostructures over large areas. Additionally, inverse design methods have revolutionized materials science, enabling the optimization of microstructures and topologies to achieve the desired properties without extensive experimental cycles. This review highlights the recent progress in inverse design methods applied in proximity-field nanopatterning. It introduces novel approaches, such as adjoint methods and particle swarm optimization, to achieve target topologies and high-resolution nanostructures. Furthermore, machine learning algorithms for inverse design are explored, demonstrating the potential efficacy of the phase-mask design. This comprehensive review offers insights into the progress of inverse design using phase modulation to realize target topologies of nanostructures.
纳米技术的最新进展通过精确控制的拓扑结构,催生了具有前所未有的特性的超材料。为了探索具有纳米级拓扑结构的超材料,人们对三维纳米制造方法的兴趣日益浓厚,并促使在大面积上快速生产目标纳米结构。此外,逆向设计方法彻底改变了材料科学,能够在无需大量实验周期的情况下优化微观结构和拓扑结构,以实现所需的性能。本综述重点介绍了应用于近场纳米图案化的逆向设计方法的最新进展。它介绍了诸如伴随方法和粒子群优化等新颖方法,以实现目标拓扑结构和高分辨率纳米结构。此外,还探索了用于逆向设计的机器学习算法,展示了相位掩模设计的潜在功效。这篇全面的综述深入探讨了利用相位调制实现纳米结构目标拓扑的逆向设计进展。